--- title: IBM SPSS Statistics Reviews meta_title: 'IBM SPSS Statistics Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 934 reviews by the users' company size, role or industry to find out how IBM SPSS Statistics works for a business like yours. aggregate_rating: rating_value: 4.2 review_count: 934 scale: '5' date_modified: '2026-10-01' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # IBM SPSS Statistics Reviews **Vendor:** IBM **Category:** [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis) **Average Rating:** 4.2/5.0 **Total Reviews:** 934 **AI Enabled:** This product embeds AI to enhance or extend its core functionality. ## About IBM SPSS Statistics IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries for users of any statistical expertise. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions IBM SPSS Statistics recent version 32 release comes up with powerful new features such as AI Output Assistant, Mediation Analysis, Curated Help Designer and many advanced algorithms. IBM SPSS Statistics • offers an easy to use drag and drop interface along with AI Output Assistant to interpret complex statistical output in easy language. • simplifies complex data analysis using advanced statistical techniques that performs data preparation and management, to analysis and reporting. • performs predictive analysis using advanced forecasting procedures to uncover patterns and predict future trends. • creates compelling visual representations to identify trends, derive accurate conclusions and deliver graphs and presentation-ready reports Explore how both individuals and organizations spanning across Industries can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Use Cases 1. Market Research - Statistical procedures highlighting how to do market research with IBM SPSS 2. Client Acquisition – Emphasizes on how can organizations can acquire more clients and understand consumer behavior 3. Forecasting – Analyze historical sales data, evaluate key trends, predict outcomes relevant to inventory planning 4. Healthcare - Enabling healthcare organizations to improve patient outcomes 5. Government - Empowering Government institutions to take smarter policy decisions 6. Supply Chain - Utilize Statistical Algorithms to make data-driven decisions across procurement, inventory, logistics, and demand planning. Visit here to see what's new in v32 - https://www.ibm.com/products/spss-statistics/whats-new ## IBM SPSS Statistics Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users appreciate the **ease of use** in SPSS Statistics, enjoying its intuitive interface for complex analyses. (33 reviews) - Users praise SPSS Statistics for its **ease of use in complex statistical analysis** , making data handling straightforward and efficient. (19 reviews) - Users value the **strong data management and cleaning capabilities** of IBM SPSS Statistics, enhancing accuracy and efficiency in analyses. (15 reviews) - Users appreciate the **intuitive user interface** of IBM SPSS Statistics, simplifying complex analysis and saving time. (13 reviews) - Users value the **robust analysis capabilities** of IBM SPSS Statistics, enabling data-driven decisions that enhance credibility in UX work. (12 reviews) - Users love the **superior visualization tools** in SPSS Statistics, as they simplify data analysis and presentation. (10 reviews) - Users appreciate the **user-friendly interface** and **wide range of statistical tests** offered by IBM SPSS Statistics. (9 reviews) - Useful (9 reviews) - Coding Simplification (8 reviews) - Users find **data analysis straightforward** with IBM SPSS Statistics, benefiting from its speed and comprehensiveness in handling data. (8 reviews) **What users dislike:** - Users find the **high cost** of IBM SPSS Statistics to be a significant barrier for smaller teams. (19 reviews) - Users find the **poor visualization** in SPSS Statistics hampers usability and complicates data interpretation for stakeholders. (12 reviews) - Users find the **steep learning curve** of IBM SPSS Statistics challenging, especially for those new to statistical analysis. (11 reviews) - Users find the **outdated interface** of SPSS unappealing and cumbersome compared to modern data analysis tools. (7 reviews) - Users often experience **performance issues** with IBM SPSS Statistics, particularly when handling large datasets, impacting usability. (7 reviews) - Users often find the **slow performance with large datasets** frustrating, impacting their overall productivity and experience. (7 reviews) - Users feel that the **user experience could be significantly improved** , with a need for a more modern UI design. (7 reviews) - Users find the **high licensing costs** of IBM SPSS Statistics to be a major hurdle for smaller teams and students. (6 reviews) - Users often face **performance slowdowns with large datasets** , making SPSS less efficient for handling big data effectively. (6 reviews) - Integration Issues (5 reviews) ## IBM SPSS Statistics Reviews ### 1. User-Friendly Statistical Analysis Tool, Needs UI Revamp **Rating:** 4.0/5.0 stars **Reviewed by:** kartik m. | React Developer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 27, 2026 **What do you like best about IBM SPSS Statistics?** I use IBM SPSS Statistics to analyze and interpret datasets, perform statistical tests, and generate reports. I love its user-friendly interface and the wide range of statistical analysis tools, which make handling datasets and interpreting results much easier without needing extensive programming knowledge. I also appreciate how efficiently it organizes data and generates reports, allowing me to quickly apply different statistical methods, compare results, and produce clear outputs. It saves me time and reduces manual calculations, making data-driven insights easier to understand and present. **What do you dislike about IBM SPSS Statistics?** I think the user interface could be improved to feel more modern and intuitive. Some of the advanced features take a bit of time to learn for new users. Having clearer guidance, better customization options, and a more streamlined workflow would make using it even better. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics simplifies data analysis and statistical testing with an easy-to-use platform. It saves me time by reducing manual calculations, makes data-driven insights easier to understand, and facilitates organized datasets for efficient result interpretation. ### 2. Fast, No-Code Statistical Testing with a Handy Data Editor **Rating:** 4.0/5.0 stars **Reviewed by:** Dhruv G. | AI engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 27, 2026 **What do you like best about IBM SPSS Statistics?** What works best for me is that it lets me run standard statistical tests without having to write code. The spreadsheet-style Data Editor makes it easy to define variables and deal with missing values, and running ANOVA, regressions, or descriptive statistics from the menus is fast and straightforward. I also like having the option to paste syntax as a middle ground when I need to reproduce an analysis later, without having to maintain a full script in Python or R. **What do you dislike about IBM SPSS Statistics?** Licensing and renewal costs are definitely on the higher side, which makes it hard to justify for smaller teams or independent projects. The UI could also use a more modern overhaul; navigating deeply nested menus gets tedious, and producing polished, clean charts takes more manual effort than it should. When I’m working with heavier datasets, performance can also occasionally lag. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Survey data, customer feedback, and behavioral trends. SPSS simplifies recoding variables, screening for missing values, and running standard statistical tests like chi-square and ANOVA. Cutting down turn-around time on routine data reviews while keeping outputs uniform. ### 3. Transforms Data Management for Market Research **Rating:** 5.0/5.0 stars **Reviewed by:** Aashiq K. | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 26, 2026 **What do you like best about IBM SPSS Statistics?** I like IBM SPSS Statistics because it helps me evaluate consumer trends effectively in my marketing research, allowing me to identify the most promising products to focus on. This tool makes it easier to understand what my customers are likely to purchase or are interested in, which enhances my brand awareness and product demand insights. It's particularly useful for data management, as it allows me to manage customer and marketing data efficiently, normalizing and structuring it in a way that optimizes my use of information. Also, the setup was quite easy, with helpful documentation and support to get started smoothly. **What do you dislike about IBM SPSS Statistics?** IBM SPSS Statistics could improve on keyword identification. It would be great if it could highlight the best skills and statistics to use, especially for making resumes stand out to recruiters. Also, while it aids in data management and analysis, enhancing its capabilities for editing, cleaning, and running complex statistical data analysis would be helpful. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics solves data management and analysis challenges, making it easy to handle complex data and evaluate consumer trends for marketing research. It helps with product identification and boosting brand awareness, providing valuable insights for decision-making. ### 4. Great for Data Validation Before Costly Azure Training Runs **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 26, 2026 **What do you like best about IBM SPSS Statistics?** As a fresher AI/ML engineer, I used to build POCs in an Azure environment. My biggest worry was wasting Azure credits and going over budget by sending the messy training data we got from clients into expensive clusters. After some research, I installed IBM SPSS Statistics on a free trial and used it for data validation first. I could drag and drop the data, check it, and handle outliers before burning Azure credits on it. **What do you dislike about IBM SPSS Statistics?** IBM SPSS is a powerful tool, but that is also its biggest problem. It is a local tool and memory-bound. And since all my operations were running on cloud, it was adding more overhead than advantages. I have to specifically download all the data from Azure env just to run it on this tool, then push it back. For massive datasets, the software starts crashing and lagging on my device. And the multiple window UI gets a little irritating making me jump between .sav and .spv. Why is there no option to see the charts when I am modifying the variables? It's quite outdated compared to Microsoft Fabric. That's what I have replaced this tool with now. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** As mentioned, I used IBM SPSS Statistics for data validation. At the time, I didn’t know how to write code for EDA and similar tasks, so before sending the data to the training clusters on Azure, I would run it through this tool first and then push it to the blob container via the Azure pipeline connections. Since it ran locally on my computer, it didn’t burn any of my Azure credits. ### 5. Ideal for Academics and Researchers, Intuitive UI **Rating:** 4.5/5.0 stars **Reviewed by:** Vaibhav Singh T. | AI Application Engineer II, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 26, 2026 **What do you like best about IBM SPSS Statistics?** What I really like about IBM SPSS Statistics is its point and click interface, which makes it super easy to use. Despite being tech-savvy, I appreciate how I can run a full analysis without writing any code, just by clicking through menus. The user interface is friendly yet powerful, making it very accessible and fast. It provides clear and readable outputs, and I can easily adjust settings and rerun analyses. It also excels in data management and presents data professionally, making it ideal for presentations and educational purposes. The ease of use and strong analytical capabilities are stellar, and the clarity and depth of the produced outputs are impressive. I trust the consistent and professional results it offers, as it simplifies tasks and allows me to focus on interpreting results rather than troubleshooting code, especially under tight deadlines. **What do you dislike about IBM SPSS Statistics?** I think IBM SPSS Statistics is less flexible when it comes to advanced or custom modeling compared to R-based tools. It struggles with big data and complex simulations, often slowing down significantly or requiring external add-ons, like for Monte Carlo simulations. Also, Python generally offers superior flexibility and a broader range of packages for cutting-edge or highly specific methods. The user interface and flow could be improved—having separate windows and static workflow can be a bit inconvenient. I find the built-in help function not very helpful for beginners, as it assumes advanced statistical knowledge, leading users to rely on Google for tutorials. The messages can be cryptic, always guiding towards suffix, and with the steep initial learning curve of the vast menu system, it can feel daunting for those without a statistical background. Weighing the trade-offs like cost versus feature advantages is something to consider. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics makes statistical work easier, handling messy data, cleaning, and testing without coding. It organizes outputs, generates professional reports, and streamlines complex data handling, enabling reliable, quick analysis with less manual effort. ### 6. Powerful Analysis Tools with a Pricey Tag **Rating:** 3.5/5.0 stars **Reviewed by:** Sutharsan G. | Software Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 27, 2026 **What do you like best about IBM SPSS Statistics?** I like IBM SPSS Statistics because it's user-friendly and has powerful analysis tools. I especially appreciate how it simplifies complex statistical analysis and makes results easy to understand. The software helps me a lot with analyzing my medical-related data, and I've found that it offers more advanced statistical analysis and can handle larger datasets more easily compared to what I was using before. The initial setup was fairly easy as well. **What do you dislike about IBM SPSS Statistics?** I think the price of IBM SPSS Statistics is high, which is a bit of a downside for me. Also, the interface could use some modernization, and the speed of data processing could be improved. I would like to see a more modern UI and faster data processing in the software. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I use IBM SPSS Statistics to analyze medical data; it's user-friendly and powerful, simplifying complex statistical analysis and making results easy to understand. ### 7. Simplifies Statistical Analysis with Ease **Rating:** 4.0/5.0 stars **Reviewed by:** Akruti S. | Associate Software Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 28, 2026 **What do you like best about IBM SPSS Statistics?** I like the user-friendly interface of IBM SPSS Statistics, which features simple menus and a clear layout. This makes complex statistical analyses easier to perform and interpret. The easy-to-understand output and ability to visualize results efficiently helps me analyze data quickly without needing extensive programming knowledge. I also find the installation and initial setup to be straightforward and not time-consuming, which adds to its ease of use for data analysis, statistical testing, and interpreting datasets. **What do you dislike about IBM SPSS Statistics?** I think IBM SPSS Statistics could definitely improve in terms of better visualization and analysis options. I would really like to see more customizable charts and clearer, automated insights from the analysis results to make the process smoother and the outcomes more understandable. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics simplifies statistical analysis, provides reliable insights, and efficiently handles complex tasks with its user-friendly interface, saving time and effort in interpreting data. ### 8. Powerful Analytics but Dated Interface **Rating:** 4.5/5.0 stars **Reviewed by:** Pravin D. | Software Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 27, 2026 **What do you like best about IBM SPSS Statistics?** I like IBM SPSS Statistics for its perfect balance between powerful analytics and user accessibility. It democratizes advanced data analysis, allowing teams to uncover deep insights without needing extensive programming skills. The straightforward wizard installation also makes the initial setup easy, though corporate network licensing might require IT assistance. It's great for non-programmers who need to handle larger datasets and perform more advanced statistical tests securely. **What do you dislike about IBM SPSS Statistics?** The user interface feels dated, which isn't great when comparing it to more modern alternatives. The licensing costs are quite steep, which puts a budget strain on my team, often resulting in tool fragmentation or even pushing us to consider open-source alternatives. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics helps me solve complex data analysis, statistical modeling, and data management problems without writing code. It balances powerful analytics and user accessibility, democratizing advanced data analysis for teams. ### 9. Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics **Rating:** 4.0/5.0 stars **Reviewed by:** Arkajit D. | Chief Technology Officer, Information Technology and Services, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** May 18, 2026 **What do you like best about IBM SPSS Statistics?** What I like best about IBM SPSS Statistics is how efficiently it allows teams to perform advanced statistical analysis without requiring everyone involved to be deeply specialized in programming-heavy data science workflows. In one healthcare-related analytics workflow, we used SPSS to analyze patient engagement trends, treatment outcome patterns, and operational reporting datasets across multiple facilities. A major advantage was that analysts and operational stakeholders could work directly with structured statistical models, regression analysis, and forecasting workflows through a much more approachable interface compared to fully code-driven environments. What stood out immediately was the balance between usability and analytical depth. The UI/UX made it easier for research teams, operations analysts, and business stakeholders to collaborate around statistical outputs without constantly depending on engineering teams to generate every analysis manually. Another strong point was the reliability of the statistical capabilities. For compliance-sensitive reporting and operational studies, the platform provided consistent and trusted statistical methods that teams could operationalize confidently for reporting and decision support. **What do you dislike about IBM SPSS Statistics?** In our usage, the statistical capabilities themselves were very reliable for healthcare operational analysis, customer segmentation studies, forecasting exercises, and compliance-related reporting validation. However, as datasets became larger and workflows evolved toward more automated analytics pipelines, the platform occasionally felt less flexible for modern collaborative and cloud-native data workflows. From a UI/UX perspective, the interface is approachable for traditional statistical analysis, but some navigation, visualization, and workflow management experiences still feel more desktop-oriented and less streamlined compared to newer analytics platforms. Teams accustomed to highly interactive notebook-based environments or modern BI tools initially found certain workflows less intuitive. Another challenge was integration flexibility. SPSS works well for standalone analysis and structured statistical projects, but integrating it deeply into evolving enterprise data engineering, DevOps, or automated analytics ecosystems sometimes required additional operational effort and external tooling. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics solved a major problem for us around making advanced statistical analysis accessible and operationally usable across teams without requiring every workflow to depend on custom-coded analytics pipelines. In one healthcare-related workflow, we were analyzing patient engagement patterns, treatment adherence trends, appointment behavior, and operational performance metrics across multiple datasets. Before using SPSS, a large portion of the analysis process depended heavily on manual spreadsheet work or specialized scripting, which slowed reporting cycles and made it harder for operational teams to participate directly in analysis workflows. SPSS helped centralize those statistical workflows into a much more structured and repeatable process. Teams could run regression analysis, forecasting models, correlation studies, segmentation analysis, and operational trend evaluations much faster without building everything from scratch programmatically. Another major benefit came during fintech-related operational analysis where we used the platform to evaluate customer onboarding trends, transaction behavior patterns, reporting anomalies, and risk-related operational metrics. The ability to validate statistical relationships and generate analytical insights quickly helped improve decision-making across operations and reporting teams. One specific advantage was reducing dependency on engineering resources for every analytical request. Operational analysts and business stakeholders could perform many statistical evaluations directly through the platform instead of waiting for custom data science support workflows. ### 10. The Standard for Complex Statistical Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Luca B. | Co-Founder and Co-Owner, Consulting, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** May 11, 2026 **What do you like best about IBM SPSS Statistics?** It is very good to run complex statistical analysis and it's "the standard" used for this scope (what I learnt at university and kept using during the job) **What do you dislike about IBM SPSS Statistics?** It could be way more user friendly. It's seriously missing a search function while running the analysis smoothly. It's impossible that in 2026 you still need to find the right label manually. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It provides quantifiable, statistical validity to analysis. It's not anymore "A is correlated to B", but you have a precise index showing the strength of that correlation, for example. Also, through SPSS we manage to run complex segmentation analysis, for which we need a tool able to analyse respondent level data and not just aggregated ones ### 11. Very complicated, but very unique **Rating:** 4.0/5.0 stars **Reviewed by:** Marija F. | Graphic Design Artist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Organic:** Organic review. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** October 26, 2022 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about IBM SPSS Statistics?** To honest I stopped using it some time ago because it was very complex and my priorities changed **What do you dislike about IBM SPSS Statistics?** Guides... Because mostly I learned it from YouTube tutorials **What problems is IBM SPSS Statistics solving and how is that benefiting you?** With SPSS, I can operate with all massive data masses and build all necessary charts. It also helps with opening files with secondary data which other researchers made. ### 12. Streamlines Complex Statistical Analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Kunal K. | Senior Frontend Developer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 26, 2026 **What do you like best about IBM SPSS Statistics?** I find IBM SPSS Statistics very useful for statistical analysis and working with datasets without having to write lots of code. It makes it easy to perform statistical analysis and manage complex datasets. I'm impressed with its ability to give me accurate statistical analysis in minutes, something that would take a lot of time to do manually. **What do you dislike about IBM SPSS Statistics?** Nothing **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics lets me work with datasets easily without coding and gives me accurate statistical analysis in minutes. ### 13. Simple Interface, Smooth Data Editing, and Strong Coding-Driven Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** MD QUADIR ALI 2. | Research Fellow, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 10, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about IBM SPSS Statistics?** The simplicity of the interface and the ability to edit the data within the interface. Additionally the integration of coding understanding enhances the data analysis. Altogether, the analysis evertime is adequate without any lag or error from the software **What do you dislike about IBM SPSS Statistics?** Perhaps the graph system and the accesibility related to creating the visualisation from the data analysis. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Obvioulsy the quantitative data, especially the real hand research data from the human population. It has benefitted a lot of my project's data analysis and has earned me a lot of reputation in the quantitative analysis ### 14. Powerful, Point-and-Click Stats for Marketers—Credible Insights Without Coding **Rating:** 4.5/5.0 stars **Reviewed by:** Ketan S. | Digital Marketing Manager, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** January 23, 2026 **What do you like best about IBM SPSS Statistics?** What I like most is the professional rigor, paired with how easy SPSS is to use. The biggest standout for me is the “point-and-click” interface for complex math. As a marketer, you may need to run a Cluster Analysis to identify customer segments or a Conjoint Analysis to understand which product features people actually value. In tools like R or Python, you typically have to write code to do this; in SPSS, you can simply select the variables from a menu. That makes high-level data science much more accessible for marketers who aren’t necessarily programmers. The data management and cleaning capabilities are also far better than what you can do in standard spreadsheets. SPSS is built to handle “messy” survey data, like when respondents skip questions or provide inconsistent answers. It includes built-in options to flag outliers, handle missing values, and recode variables (for example, turning “Age” into “Age Brackets”) across thousands of rows in seconds, which helps ensure the final report is actually accurate. I also really like the Direct Marketing Module. It’s a dedicated set of tools within SPSS designed specifically for marketing use cases. It lets you run RFM Analysis (Recency, Frequency, Monetary) to identify your most loyal customers, along with “Propensity to Purchase” modeling. Instead of guessing who to email, you can use statistics to predict which customers are most likely to buy. **What do you dislike about IBM SPSS Statistics?** What I Dislike: Dated Aesthetics and High Cost My biggest immediate dislike is the outdated user interface (UI). SPSS looks and feels like software from the early 2000s. Even though it’s functional, it doesn’t have the modern, sleek design you get with tools like Canva or Monday.com. That “gray box” vibe can make the software feel more intimidating and a lot less “fun” to use, especially during long data-crunching sessions. Another recurring frustration is the limitation around visualization. SPSS can generate charts and graphs, but they often come out looking overly “academic” and dry. If you’re a marketer who needs to put a polished deck in front of a CMO, you’ll almost always end up exporting the data to something like Tableau, Power BI, or even just Excel to get visuals that look brand-compliant and more modern. Finally, price and performance on big data can be a real barrier. SPSS is expensive and often comes with a significant annual license fee that can be tough for smaller marketing teams to justify. On top of that, if you’re trying to crunch “Big Data” (millions of rows from web traffic or live social feeds), it can get sluggish or even crash. It feels like it was originally built for structured, survey-style datasets, not massive, real-time data streams. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** How It Benefits You: Credibility and Precision The biggest benefit is scientific credibility. When you tell your boss that “customers prefer the blue packaging,” being able to back it up with an SPSS output showing a p-value below 0.05 demonstrates that the result isn’t just a lucky guess—it’s statistically significant. That kind of evidence protects your reputation and helps ensure marketing budgets aren’t driven by “gut feelings.” It also enables Hyper-Segmentation. Many marketers segment using basic demographics (age/location), but SPSS lets you go further by segmenting based on psychographics and behavior. That’s how you uncover hidden patterns—like a group of customers who only buy during sales but are still highly likely to refer friends. Once you identify these “micro-segments,” you can build more personalized campaigns that are better aligned to each group and can drive much higher ROI. Finally, it adds Predictive Power. Rather than only reviewing what happened last month, SPSS helps you forecast what may happen next. With Regression Analysis, you can estimate how much a $10,000 increase in ad spend could actually affect sales. It shifts your role from a marketer who simply “spends money” to a strategic partner who “invests for a specific return.” ### 15. An essential companion to analysing quantitative data **Rating:** 4.5/5.0 stars **Reviewed by:** Cathal C. | Educational Consultant, Public Relations and Communications, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** October 03, 2025 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about IBM SPSS Statistics?** I used IBM SPSS Statistics to help with the analysis of survey data during my PhD research. I found it easy to navigate and the analysis led to strengthening the results section of my PhD thesis. I consider the customer support to have been of a particularly high standard. **What do you dislike about IBM SPSS Statistics?** I had no dislikes of this IBM package. Like every software package, a certain amount of orientation is required to fully utilise what the product can offer. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** The package was directly helping with the statistical analysis of survey data gathered from stakeholders (n=92) during the quantitative stage of my PhD research. ### 16. Credible Analysis, Needs UI Overhaul **Rating:** 3.5/5.0 stars **Reviewed by:** Camille N. | UI Designer **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** January 22, 2026 **What do you like best about IBM SPSS Statistics?** I like that IBM SPSS Statistics helps make my work in UX more credible because it allows me to present data-backed decisions to higher-ups. Instead of just saying I feel an option is better, I can use SPSS to show that the data indicates one option performs better, and provide numbers, making our decisions more credible. **What do you dislike about IBM SPSS Statistics?** I think that the UI is the biggest weakness. Being a designer, I feel that SPSS's UI looks old and cluttered. Some features are hard to discover, and it's really hard to begin as a beginner. The tables are dense. It's hard for stakeholders to interpret quickly, so maybe a UX summary output could help. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I use IBM SPSS Statistics for redesign validation and AB testing, enhancing UX decision-making with statistical credibility. It provides clear, data-backed insights, making it easier to present decisions to higher-ups with real numbers rather than just opinions. ### 17. Menu-Driven Stats and Crosstabs—No Coding Needed **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 26, 2026 **What do you like best about IBM SPSS Statistics?** The menu driven interface helps me run descriptive stats tests, crosstab views and chi square tests without a single line of code to be written **What do you dislike about IBM SPSS Statistics?** The scale currently, with so much data rows the load time often increases and heavier procedures strain the memory **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Consulting work like mine, as for any client facing analysis it holds up best ### 18. Powerful Analytics with Easy-to-Use Interface, Despite High Cost **Rating:** 5.0/5.0 stars **Reviewed by:** Bhanu Prakash V. | Student, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** December 25, 2025 **What do you like best about IBM SPSS Statistics?** I like IBM SPSS Statistics for its easy-to-use, menu-driven interface, which allows me to perform complex statistical analysis without needing to write code. The software's capability to present results in clear tables and charts makes interpretation simple and accurate. This is particularly beneficial for students and researchers working with large data sets. I appreciate how IBM SPSS Statistics efficiently handles complex statistical tests like descriptive statistics, regression, and ANOVA simply by selecting options from the menus. Additionally, the output viewer feature is very useful as it automatically organizes results into well-structured tables and charts, making data interpretation easier. I also find its strong data management tools, such as variable labeling and handling missing values, very helpful as they aid in cleaning and preparing data efficiently before analysis. Overall, these features make IBM SPSS Statistics a reliable and accurate tool for academic and research work. **What do you dislike about IBM SPSS Statistics?** The cost and licensing are quite high, making it difficult for students and small organizations to access. The user interface feels outdated compared to modern analytics tools and could be improved to be more interactive and visually appealing. IBM SPSS Statistics also has limited flexibility and automation compared to programming-based tools like Python, especially for advanced raw custom analysis. Improving integration with other tools and adding more modern data evaluation options would enhance the software. The licensing and activation steps can be a bit confusing initially, particularly for students. The setup process could be improved by making the licensing and additional processes simpler and more user-friendly. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics helps me analyze large, complex data without coding skills. It streamlines statistical processes for projects, with features like menu-driven interfaces, clear charts, and tables, saving time and reducing errors. ### 19. Perfect for Non-Programmers, Painful Licensing Process **Rating:** 5.0/5.0 stars **Reviewed by:** Rohith B. **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** December 24, 2025 **What do you like best about IBM SPSS Statistics?** I love that IBM SPSS Statistics allows you to run complex analyses like MANOVA or factor analysis without needing programming knowledge, thanks to its point-and-click interface. The 'Data View' vs. 'Variable View' setup is super helpful for keeping datasets clean, especially with a lot of survey responses. It's excellent for handling large datasets, much better than Excel. The 'Syntax' feature is fantastic for automating repetitive tasks without having to delve into full Python or R, making it much easier. SPSS is also very reliable, and I trust the math and the outputs, which means something in peer-review scenarios. The appeal of SPSS is its incredibly low barrier to entry; if you can use a menu, you can perform high-level statistics, which is impressive. It's an absolute workhorse for getting reliable statistical proof for business cases. If my friend is a researcher who understands statistics but hates programming, SPSS is a 10/10 because it allows running complex models with just a few clicks. **What do you dislike about IBM SPSS Statistics?** The UI feels like it’s stuck in 2005, and it's clunky. The licensing process is a headache every time I have to renew, and the price is astronomical if my university or company isn't covering it. The visualizations look dated right out of the box, so I usually have to export the data to other tools like Tableau or PowerBI to make it look presentable. It can also be slow when working with truly 'Big Data' (millions of rows). The initial setup can be frustrating, especially the licensing part - even a small error in entering an authorization code can prevent activation. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I don't need to be a programmer to run complex analyses with IBM SPSS Statistics. It handles large datasets better than Excel. The 'Syntax' feature helps automate tasks efficiently, providing reliable statistical proof for business cases. ### 20. Great Potential but Steep Learning Curve **Rating:** 2.5/5.0 stars **Reviewed by:** Rhonda W. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** December 25, 2025 **What do you like best about IBM SPSS Statistics?** I like how easy it is to understand the values and the outcome of the data with IBM SPSS Statistics. It helps me in proving numbers of the random samples I provide, making it a valuable learning experience for evaluating sample sizes in my research. **What do you dislike about IBM SPSS Statistics?** I don't know how to use this tool yet. I wish there was a stronger tutorial. Also, the initial setup was not easy at all; it took me two hours to understand the process. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I use IBM SPSS Statistics to learn how to evaluate sample sizes and prove the numbers of random samples, making it easy to understand the values and outcomes of data. ### 21. Effective IBM System for Easy Data Analytics Creation and Data Transformation. **Rating:** 4.5/5.0 stars **Reviewed by:** Veronicah P. | Information Technology Manager, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** December 20, 2025 **What do you like best about IBM SPSS Statistics?** 1. IBM SPSS Statistics is an intuitive platform for easy data transformation. 2. Easy migrating multiple data from various data sources. 3. Predictive data analytics generation in real time. 4. Secure data storage platform and easy data accessibility solution. 5. Data modeling, data mapping and the ability to manage various IT operations data is simple through IBM SPSS Statistics. **What do you dislike about IBM SPSS Statistics?** None at all for the IBM SPSS Statistics since from implementation to deployment, everything is simple with no issues. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** 1. Creating productive business data real time analytics. 2. Secure storage for all our IT projects and easy data handling. 3. Transformation of various data. 4. Data recovery and data backup solution. ### 22. IBM SPSS Statistics is an Effective Real Time Data Analytics and Data Integration Tool. **Rating:** 4.5/5.0 stars **Reviewed by:** Lilly M. | IT Support Technician, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** December 09, 2025 **What do you like best about IBM SPSS Statistics?** IBM SPSS Statistics offers effective advanced statistics capability and drag and drop interface and the solution is helpful on complex project real time data analytics generation. Predictive data analytics creation and even visual representation easy creation which helps on identifies trends is perfect using this IBM solution and also regression analyzation the IBM SPSS Statistics is the master. **What do you dislike about IBM SPSS Statistics?** Nothing at all to dislike from IBM SPSS Statistics and even the learning curve is short and very simple implementation process. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Easy providing productive business real time data analytics, managing complex projects data, data mapping and effective data predictive analytics generation and helpful solution on deployment and data integration is excellent using IBM SPSS Statistics capabilities. ### 23. Comprehensive Tool for Statistical Analysis and Data Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammed R. | Customer Support Specialist, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 26, 2025 **What do you like best about IBM SPSS Statistics?** What I appreciate most about IBM SPSS Statistics is its capacity to manage complex statistical analyses effortlessly. The software offers a comprehensive selection of analytical techniques, ranging from simple descriptive statistics to more advanced predictive modeling, all accessible through an intuitive interface. Its drag-and-drop features, along with clear output tables and charts, make interpreting data and presenting insights much more straightforward. Additionally, SPSS integrates effectively with large datasets, which helps maintain accuracy and efficiency in both research and business decision-making. **What do you dislike about IBM SPSS Statistics?** The main drawback of IBM SPSS Statistics is its high cost, which makes it less accessible for individuals and small organizations. The interface, while user-friendly, can feel outdated compared to modern analytics tools. Additionally, running very large datasets may sometimes slow down performance, and customization through scripting requires more technical expertise. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics helps in simplifying complex data analysis by providing reliable statistical techniques and predictive modeling tools. It solves the problem of manually handling large datasets and ensures accuracy in results. The software also makes it easier to visualize findings through clear tables and charts, which benefits me by saving time, improving decision-making, and enhancing the quality of research insights. ### 24. Easy-to-Use SPSS for Survey Analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Joep L. | CEO, Sports, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 21, 2026 **What do you like best about IBM SPSS Statistics?** It's pretty easy to use SPSS to analyse your surveys **What do you dislike about IBM SPSS Statistics?** Sometimes if you dive really deep in the data you could get lost **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I can now see connections within the data which will help me to improve my product ### 25. IBM SPSS Statistics has Effective Data Integration and Data analytics Production Options. **Rating:** 4.5/5.0 stars **Reviewed by:** Wickliffe P. | Frontend Engineer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** December 19, 2025 **What do you like best about IBM SPSS Statistics?** IBM SPSS Statistics provides effective multiple data source connectivity, easy data cleansing, metadata management and data visualization capability is incredible and amazing big data processing IBM solution. The ability to create real time data analytics and the the collaboration across various IT projects IBM SPSS Statics offers the best and easy data mapping system. **What do you dislike about IBM SPSS Statistics?** Nothing at all to dislike on IBM SPSS Statistics because after its first implementation and functions configuration the manipulation is quite smooth operations. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Various data visualization, multiple data integration, data analytics generation, Automation and very impressive large project data easy management platform. ### 26. I like SPSS **Rating:** 5.0/5.0 stars **Reviewed by:** Shiv S. | Associate - Business Strategy and Marketing, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 15, 2025 **What do you like best about IBM SPSS Statistics?** I’ve been using IBM SPSS for a while now, mainly for statistical analysis and research projects, and overall it’s a solid tool with a few caveats. On the positive side, the biggest strength of SPSS is that it makes complex statistical analysis far more approachable. The interface is much more user-friendly compared to coding-heavy tools like R or Python, especially for people who aren’t from a hardcore programming background. Running regressions, factor analysis, ANOVA, or even advanced tests becomes very straightforward with the menus and options. The output tables and charts are also clean, easy to export, and presentation-ready, which saves a lot of time. **What do you dislike about IBM SPSS Statistics?** That being said, SPSS does feel a bit dated in some areas. The interface hasn’t evolved much over the years, and sometimes it feels clunky compared to newer platforms. It’s also not the best when it comes to handling really large datasets, performance can get slow. Another downside is the cost. For students it’s manageable with discounted licenses, but for professionals or small organizations, the pricing is quite steep compared to free alternatives like R or Python, which are more flexible if you’re willing to put in the effort to learn coding. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It helps in the analysis with no time. Saves energy with accurate results ### 27. IBM SPSS Statistics: A CMA’s Tool for Data-Driven Decision Making **Rating:** 4.5/5.0 stars **Reviewed by:** Sagar V. | Freelance, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 15, 2025 **What do you like best about IBM SPSS Statistics?** Its biggest strength for me being a CMA Grad is the ability to convert raw financial and operational data into actionable cost insights — quickly and with statistical accuracy.

For a costing and strategy plan, SPSS can:The likely win: I am not just preparing budgets — I am building a statistically validated roadmap that supports strategic decisions with evidence, not gut feeling. **What do you dislike about IBM SPSS Statistics?** IBM SPSS Statistics has a steep learning curve for financial professionals — its depth in statistical modeling means we can’t just “plug and play” without investing time in mastering its tools.

Hidden strength in this drawback: Once we get comfortable, that very complexity becomes its biggest advantage, enabling us and the organization to run multi-year cost forecasts, sensitivity analyses, and risk simulations at a level most generic accounting tools can’t touch.

It’s basically saying: Yes, it’s tough at first — but that’s why it’s powerful. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics helps overcome the common problem of data scattered across multiple spreadsheets, where inconsistencies make analysis unreliable. By cleaning and consolidating this data into a single structured format, it ensures that financial and costing insights are built on a consistent and trustworthy base.

Forecasting for a costing strategy often suffers from over-reliance on assumptions and static models. SPSS addresses this by using predictive analytics, which tests patterns in historical data to project costs, revenues, and market shifts with far greater accuracy than traditional budgeting methods.

Many cost strategies fail to identify the real drivers behind changes in expenses. SPSS solves this through regression and factor analysis, uncovering the hidden variables that most influence cost behavior, enabling CMAs to focus attention and resources on the factors that truly matter.

Risk planning is another area where standard tools fall short, often leaving blind spots. SPSS counters this by quantifying risk probabilities and impacts, turning uncertainty into measurable figures, and supporting the development of well-informed contingency plans that align with long-term strategy. ### 28. Comprehensive Tool but Needs Usability Improvements **Rating:** 3.5/5.0 stars **Reviewed by:** José Andrés J. | Talent Acquisition Specialist **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** August 11, 2025 **What do you like best about IBM SPSS Statistics?** I find IBM SPSS Statistics to be a very useful and effective tool for managing, reviewing, and analyzing data in my university projects and work areas. It helps me solve statistical problems and conduct more secure analyses of candidates in recruitment. I also value its storage and integration features, which allow me to use it as a database to access and rework previous data when necessary. I consider it a comprehensive tool with very practical advanced features. **What do you dislike about IBM SPSS Statistics?** Initially, I found using IBM SPSS Statistics a bit complex due to my limited experience and knowledge, preferring more basic tools. I feel the platform is somewhat outdated compared to other alternatives I've used, which complicated my initial adaptation. The setup process for running analyses is particularly challenging for me, requiring a high level of manual technicality that I find unnecessary and complicated for new users. Additionally, I believe the platform could be improved with more updates, such as the integration of artificial intelligence and new tools to facilitate its use, especially for new users. This affected my perception of the software's practicality, so I think it should be more intuitive. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I use the product to solve statistical problems and data analysis. It allows me to analytically evaluate candidates in recruitment and offers storage and integration features that make it easier to work with old data. ### 29. Powerful and Advanced Analytics Tool with Seamless Data Integration Capability. **Rating:** 4.5/5.0 stars **Reviewed by:** Angelina J. | Network Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** December 02, 2025 **What do you like best about IBM SPSS Statistics?** IBM SPSS Statistics offers effective advanced statistics functionalities and the ability to process large projects data and predictive modeling IBM SPSS Statistics is incredible. Data cleansing and also data discovery using this IBM tool is perfect and great data integration solution. **What do you dislike about IBM SPSS Statistics?** Easy on implementation of this IBM platform and no much to learn when getting started with IBM SPSS Statistics and the technical help offered is perfect. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Useful multiple projects data processing tool, amazing on data analytics creation, collaboration and perfect solution on data migration across other platforms. ### 30. IBM SPSS Statistics **Rating:** 5.0/5.0 stars **Reviewed by:** Tricia S. | Director of Institutional Research, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 06, 2025 **What do you like best about IBM SPSS Statistics?** I use SPSS every day working in Institutional Research in Higher Education. I have been using SPSS Statistics since version 9. I also use Custom Tables. This product allows me to easily analyze large amounts of data with ease. **What do you dislike about IBM SPSS Statistics?** The only improvement I would suggest is when merging two data sets together that SPSS automatically assigns variable type and lengths to be the same. Another thing I miss are prior to IBM taking over SPSS, there were easy and affordable trainings available. Now it is complicated to register for training. I miss that. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It allows me to analyze data with ease. I use every day! ### 31. Using IBM SPSS -My Honest Experience and Thoughts **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** October 02, 2025 **What do you like best about IBM SPSS Statistics?** I really like how easy it is to run complex analyses without feeling lost. Even simple things, like running a regression or making charts, are straightforward. The outputs are clear, and the graphs look professional, which is a huge time saver. Plus, if you want, you can use the syntax to automate tasks makes life a lot easier. **What do you dislike about IBM SPSS Statistics?** The biggest downside for me is that it can feel a bit slow, especially with really large datasets. Sometimes simple operations take longer than I expect. Also, the interface looks a bit outdated compared to newer tools—it works fine, but it doesn’t feel modern or sleek. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I was working on a project analyzing air quality data from Delhi. The dataset had thousands of daily readings for PM2.5, PM10, and other pollutants across multiple locations. Before SPSS, organizing and analyzing this much data would have taken forever. With SPSS, I could run correlations, trends, and regressions quickly to see how pollution levels changed over time and across areas. It also helped me visualize the results clearly. I was able to generate charts showing pollution peaks during winter and compare them across neighborhoods, which made my report much easier to understand. Using SPSS saved me hours and gave me accurate, professional-looking outputs that I could confidently share with stakeholders. ### 32. My Go-to tool for Reliable and Powerful analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Arun C. | Team Lead, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: G2 invite:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 09, 2025 **What do you like best about IBM SPSS Statistics?** Accurate, fast, and easy to use. Best part is how easily it handles complex statistical analysis without making it feel complex. Simple interface, many built in options to work around. “Descriptive” is my favourite. **What do you dislike about IBM SPSS Statistics?** If I had to pick something, it would be the license cost **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Helps me turn raw survey data into actionable and clear data, look into insights, helps in cleaning data. Saves a lot of time and helps me quickly visualize patterns in data ### 33. Best tool for learning and analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Amina K. | Student, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 05, 2025 **What do you like best about IBM SPSS Statistics?** It is particularly ideal for researchers and business professionals. It is very easy to use and I always appreciate an easy UI. The point and click system can be easily used to perform complex analyses without much knowledge of programming. I use it very frequently. Its easy to implement and I have not yet had to contact customer support. **What do you dislike about IBM SPSS Statistics?** It is not too easy to use for new users especially ones who are unfamiliar with statistical analyses. Integration on other platforms is limited. High licensing costs so unfeasible for students. Lacks flexibility for personalization. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I do masters research and I find that it helps me analyze complex data very efficiently. ### 34. Robust statistical analysis tool with an intuitive interface **Rating:** 4.5/5.0 stars **Reviewed by:** Angad G. | Software Development Intern, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 25, 2025 **What do you like best about IBM SPSS Statistics?** SPSS offers a clean and structured interface that makes advanced statistical analysis accessible even to users with limited coding experience. I especially appreciate the wide range of built-in tests, its flexibility in handling complex datasets, and how easy it is to visualize outputs. The syntax feature is great for repeatability, and it integrates well with Excel and CSV workflows. **What do you dislike about IBM SPSS Statistics?** SPSS can feel outdated in terms of UI compared to modern tools, and the licensing structure is somewhat rigid and expensive for individual or smaller team use. Also, while it's great for structured analysis, it lacks some of the flexibility and extensibility of open-source alternatives like R or Python when it comes to custom modeling or data wrangling. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It allows me to run advanced statistical tests (like regressions, ANOVA, factor analysis) without having to write extensive code, making it ideal for quick turnaround on research projects, business insights, or academic evaluations. It’s especially useful when working with large datasets and needing reproducible, presentation-ready outputs. SPSS reduces the learning curve for team members who are less technical while still offering powerful functionality for more advanced users. This has improved the speed and accuracy of our reporting and supported better decision-making in both academic and client-facing environments. ### 35. Powerful Statistical Tools, but Needs Better User-Friendliness **Rating:** 4.5/5.0 stars **Reviewed by:** Ajay H. | Associate Consultant, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a review partner **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** October 16, 2025 **What do you like best about IBM SPSS Statistics?** It's a good statistical analysis software that offers various statistical tests like descriptive statistics, T tests,ANOVA etc. **What do you dislike about IBM SPSS Statistics?** Could be more user friendly especially in case of a setting data types etc. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** I used IBM SPSS for descriptive statistical analysis for financial data, It helped me understand key characteristics of data set such as standard deviation etc. ### 36. Powerful Statistical Tool with Advanced Features **Rating:** 4.0/5.0 stars **Reviewed by:** Kuldeep V. | Assistant System Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 24, 2025 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about IBM SPSS Statistics?** I like its comprehensive statistical analysis capabilities and user-friendly interface for handling complex data. **What do you dislike about IBM SPSS Statistics?** The high cost of the software and occasional performance slowdowns with very large datasets. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics helps me analyze complex data sets, perform advanced statistical tests, and generate clear reports, which saves time, improves decision-making, and enhances the accuracy of insights. ### 37. Reliable and Comprehensive Statistical Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Pradeep R. | Software Developer, Computer Software, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 13, 2025 **What do you like best about IBM SPSS Statistics?** I really like how SPSS makes complex statistical analysis straightforward. The drag-and-drop interface for building tables and running tests saves a lot of time, and the output is well-organized and easy to interpret. **What do you dislike about IBM SPSS Statistics?** The main drawback is that it can feel a bit heavy and slow when working with large datasets. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** IBM SPSS Statistics helps me handle large amounts of data efficiently and run statistical tests without having to code everything manually. ### 38. IBM cloud offers a fantastic cloud based platform with endless potential **Rating:** 5.0/5.0 stars **Reviewed by:** Long Hoa C. | Senior scientist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** July 11, 2025 **What do you like best about IBM SPSS Statistics?** We can perform data collection, storage and handling in one platform. IBM also offers models for training and AI building **What do you dislike about IBM SPSS Statistics?** Just the glitch between upgrade and free version **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It’s offered me lots of solutions and build the models and also advise on the most relevant ### 39. Helps a Non-Technical Person As Well **Rating:** 5.0/5.0 stars **Reviewed by:** Anthony S. P. | Solutions/Sales Engineer Fellow, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 15, 2025 **What do you like best about IBM SPSS Statistics?** As a person had never been technical, and more importantly a psychology major in both undergrad and grad school, I loved the interface, as it looked clean and appealing, allowed me to do my work effectively in research, generating outputs that helped me to put together my case studies in a great light. It was easy to setup, and I felt comfortable using it on a daily basis. **What do you dislike about IBM SPSS Statistics?** Sometimes the outputs were a little too intimidating. If I needed to generate other formulas I would have to get some training on it, but fortunately I needed to only know a few things for my research studies (power, significance, F and T ratios). **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It is helping me to generate reports for my psychological research. ### 40. User review of IBM SPSS Statistics by PM **Rating:** 4.0/5.0 stars **Reviewed by:** Priyanka M. | Assistant Teacher, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** September 10, 2025 **What do you like best about IBM SPSS Statistics?** Easy to use and offering a wide range of statistical calculation options, this tool is helpful for both students and researchers. **What do you dislike about IBM SPSS Statistics?** A smaller number of new statistical methods, like Bayesian analysis, and not for beginners. Pricing also matters. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Traditional, common and advanced methods availability. ### 41. I have worked in a SPSS tool for almost 2 years. And it was best tool to check the data logically. **Rating:** 4.5/5.0 stars **Reviewed by:** Rishabh B. | Quality Assurance Specialist, Market Research, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** May 10, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about IBM SPSS Statistics?** Large number of data can easily be checked in SPSS and takes less time than other tools. **What do you dislike about IBM SPSS Statistics?** Well sometimes the scrolling thing is too hectic when we have to jump or bring some data from one place to another place which is far away in the column. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Large numbers of data which we can check logically as logical errors are the most concerning and we can check them easily. ### 42. Easy to use **Rating:** 4.5/5.0 stars **Reviewed by:** MUSKAN M. | Executive, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 15, 2025 **What do you like best about IBM SPSS Statistics?** IBM SPSS is a best software to learn. it is easy to use and has best result. It gives exact results. **What do you dislike about IBM SPSS Statistics?** Nothing as such it is some where complicated **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Analysing the data and analysing the different type of data ### 43. SPSS pros and cons **Rating:** 3.5/5.0 stars **Reviewed by:** Aman J. | Partner Account Manager, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** October 04, 2025 **What do you like best about IBM SPSS Statistics?** I use it mostly for the running data and running regression , its a fast tool for all these tasks. **What do you dislike about IBM SPSS Statistics?** No Ai support and complex old UI , new learner may find it outdated and complicated to learn **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It help me make sense of the raw data we get from our survey and mostly for regression, correlation etc. ### 44. The best software for analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Pavan R. | Qa tester, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 13, 2025 **What do you like best about IBM SPSS Statistics?** solve sats without writing any code and running regression testing **What do you dislike about IBM SPSS Statistics?** Poor visualization and ux issues and limited options **What problems is IBM SPSS Statistics solving and how is that benefiting you?** regression testting and solving satstical problem ### 45. Pretty good tool and user friendly interface **Rating:** 4.5/5.0 stars **Reviewed by:** Apoorva Y. | Data Scientist, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 18, 2025 **What do you like best about IBM SPSS Statistics?** its user friendly and I have used it for stats and regression, the output is really easy to interpret **What do you dislike about IBM SPSS Statistics?** Not great for big data, doesn't support advance algorithms **What problems is IBM SPSS Statistics solving and how is that benefiting you?** SPSS makes it easier to do stats without needing to write any code. It’s great for things like surveys, finding patterns, or running basic tests like regression. I like using it when I need quick results without setting up anything complicated. It’s simple, clear, and helps me get the info I need fast. ### 46. IBM SPSS Statistics: Great features, but could be cheaper **Rating:** 5.0/5.0 stars **Reviewed by:** Rajan S. | Associate Manager, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** November 19, 2024 **What do you like best about IBM SPSS Statistics?** Easy to use: I am not an expert in statistics, but I found SPSS Statistics very easy to use. It's way less scary than trying to code everything on my own. There are a lot of tutorials and helpful menus too, which is very handy whenever there is some difficulty with any task. Tons of features: SPSS Statistics has a lot of features. It can do simple things like averages, percentages to difficult analyses which I do not even understand (for e.g. multivariate regressions). A lot of features with the software help me in my day to day tasks and assignments. Clear results: SPSS Statistics shows clear results which is something that I expect from a software like this. The tables and charts are simple and easy to understand, even for someone like me who's not an expert in statistics. It makes it convenient for me to explain my findings to teammates and other stakeholders. **What do you dislike about IBM SPSS Statistics?** Not so modern: The UI of the software can be improved. The design seems a little outdated. It looks a little bit old-fashioned when compared to other programs in the market. Pricey: SPSS Statistics is a little expensive. I had to use my college IIM Sambalpur's license because there was no other way that I could afford it on my own. Not ideal if you're on a tight budget like for a student. Customer support: Fortunately, I didn't have to contact them much, but when I did once, it was a little difficult to find a customer executive and a proper resolution. This aspect can be improved further in the time to come. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** No coding needed: I can do complex analysis without having to learn a bunch of complicated programming. The menus and options are pretty straightforward. Handles the heavy lifting: It can do all sorts of advanced statistical tests that I need for my assignments and projects, saving me a ton of time and effort. Easy to understand results: The output is presented in clear tables and charts, so it's easy to interpret the findings and explain them to others. ### 47. Great stats tool! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** The reviewer received either a gift card or a donation made to a charity of their choice in exchange for writing this review. **Source: G2 Gives Campaign:** G2 Gives Campaign. The reviewer received either a gift card or a donation made to a charity of their choice in exchange for writing this review. **Reviewed Date:** October 08, 2025 **What do you like best about IBM SPSS Statistics?** Powerful statistical tool to assist with data analysis and projections. **What do you dislike about IBM SPSS Statistics?** I dislike that it's Only usable with offline data. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Understanding my data and gaining insights from it ### 48. A learning experience **Rating:** 3.5/5.0 stars **Reviewed by:** Rahul M. | Fraud & Compliance Analyst, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 22, 2025 **What do you like best about IBM SPSS Statistics?** I liked the user-friendly GUI, pretty plain simple and straight. Another main feature which I have liked is the integration of Python/SQL into it. **What do you dislike about IBM SPSS Statistics?** I believe the graph and histograms can have a little bit modern view. It seems straight out of Microsoft Excel. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** Helping to integrate my SQL platform into SPSS and transform my data is the most important thing that I am getting benefit from it. ### 49. SPSS review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Alternative Medicine | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** April 26, 2025 **What do you like best about IBM SPSS Statistics?** It has more features than I thought. I like that it is specialized for statistics. **What do you dislike about IBM SPSS Statistics?** At first, I didn't understand much about how to use the tool, but with videos on YouTube, I was able to follow along with the tool haha I don't know if my problem is that it's not very intuitive **What problems is IBM SPSS Statistics solving and how is that benefiting you?** It is for medical study activities, I was using it with my partner for their classes. ### 50. IBM SPSS: Recommended for Data analysts and researchers **Rating:** 4.0/5.0 stars **Reviewed by:** MOHAMMED G. | Geographic Information System Specialist, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** November 26, 2024 **What do you like best about IBM SPSS Statistics?** I would recommend IBM SPSS for researchers, data analysts who need to perform advanced statistical analysis and data visualization. It provides a range of statistical techniques such as inference and data visualization tools such as graphs, charts, etc. Integration with other IBM products is easy and effortless. IBM support is excellent for users. **What do you dislike about IBM SPSS Statistics?** The pricing is overwhelming for beginners and small organizations. Would love more optimized SPSS for big data analytics like other big data engines such as Apache Spark or Power BI. **What problems is IBM SPSS Statistics solving and how is that benefiting you?** 1. Efficient Statistical analysis 2. Advanced statistical tests that I need, saving my time and effort. 3. Data visualization using charts, graphs so it's easy to understand ## IBM SPSS Statistics Discussions - [SPSS Help Menu](https://www.g2.com/discussions/spss-help-menu) - 2 comments, 2 upvotes - [IBM SPSS Statistics needs promotion and make people use it right now.](https://www.g2.com/discussions/ibm-spss-statistics-needs-promotion-and-make-people-use-it-right-now) - 1 comment, 2 upvotes - [What is IBM SPSS Statistics used for?](https://www.g2.com/discussions/what-is-ibm-spss-statistics-used-for) - 1 comment, 1 upvote - [Can the developer update the UI?](https://www.g2.com/discussions/41339-can-the-developer-update-the-ui) - 2 comments, 1 upvote - [Support for training](https://www.g2.com/discussions/25294-support-for-training) - 2 comments, 1 upvote - [View IBM SPSS Statistics pricing details and edition comparison](https://www.g2.com/products/ibm-spss-statistics/reviews?qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-10-01+12%3A08%3A35+-0500&secure%5Bsession_id%5D=f43de3ba-5b19-4b6f-a4f2-517bf0f8f9db&secure%5Btoken%5D=18c372381b1a5f80b3f1012803f0a7965c13a27cb437e681eb212c87ea958f33&format=llm_user) ## IBM SPSS Statistics Features **Administration** - Quality Control - Data Sampling - Multiple Data Sources - Real-Time Data - Statistical Process Control **Statistical Tool** - Scripting - Algorithms **Capabilities** - Data Visualization - Survival Analysis - Risk Data Attributes - Cost Analysis - Multivariate Analysis - What-if Analysis - Statistical Analysis - Bayesian Analysis - Trend Analysis - Regression Analysis **Data Analysis** - Analysis - Time Series Analysis - Trend Analysis **Methodology** - ANOVA Support - Regression - Time Series Analysis **Decision Making** - Modeling - Data Visualizations - Report Generation - Customizable Reports **Generative AI** - Generative AI **Additional Functionality** - Compliance Tracking - Real-Time Reporting - Statistical Simulation - Forecasting - Neural Network Modeling - Visual Analytics - Access Controls/Permissions - Data Connectors - Customizable Reports - Drag & Drop - Self Service Data Preparation - Performance Metrics - Data Transformation - Activity Dashboard - Data Extraction - Reporting/Analytics - Predictive Analytics - API - AI Copilot - Association Discovery - Ad hoc Reporting - Reporting & Statistics - Third-Party Integrations - Customization - Search/Filter - Monitoring - Data Clustering - Data Import/Export - SSL Security - File Storage - Decision Tree - Multiple Scoring Models **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Demand Forecasting - AI/Machine Learning - Drag & Drop - For Healthcare - Forecasting - Data Extraction - Third-Party Integrations - Decision Support - Modeling & Simulation - Alerts/Notifications - Reporting/Analytics - Multiple Data Sources - For Retail - For Education - Data Discovery - Graphical Workflow Editor - Performance Metrics - Business Rules Management - AI Copilot - Natural Language Processing - Data Transformation - Data Clustering - API - Data Blending - Data Classification - Workflow Management - Workflow Automation ## Top IBM SPSS Statistics Alternatives - [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) - 4.6/5.0 (221 reviews) - [JMP](https://www.g2.com/products/jmp/reviews) - 4.5/5.0 (206 reviews) - [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) - 4.5/5.0 (117 reviews)